Abstract
In this study, a decision support system with intellectualization elements was created to control the petroleum coke production process based on the developed models of the main units of the delayed coking unit (УЗК) taking into account fuzzy information from experts. A description of the main interfaces of the created intelligent decision support system (IDSS) is given, with the help of which the user of the system models various operating modes of the main УЗК units, optimizes their parameters and effectively controls the coke production process. Using the created IDSS, the user can control the coke production process according to various criteria depending on the demand for volume and requirements for coke quality. Using the IDSS, the user of the system can maximize the volumes of coke produced with the required quality indicators or provide the required volume of coke with the best quality indicators. Unlike other systems based on known deterministic УЗК models, the created IDSS allows more adequate modeling, effective optimization and control of УЗК operating modes. Based on the comparison of the simulation results for optimizing the УЗК operating modes using the created ISPR, known systems of deterministic simulation and optimization, the advantages of the created system in comparison with known similar systems were established.